Taylor Applebaum
- Accurate proteome-wide missense variant effect prediction with AlphaMissense
2023/09/19 by Jun Cheng, Guido Novati, Joshua Pan +13 · 103 citations
Biochemistry, Genetics and Molecular Biology · #Genetic Associations and Epidemiology #Genomic variations and chromosomal abnormalities #Genomics and Rare Diseases
- AlphaGenome: advancing regulatory variant effect prediction with a unified DNA sequence model
2025/06/27 by Žiga Avsec, Natasha S. Latysheva, Jun Cheng +24 · 3 voices · 9 citations
Biochemistry, Genetics and Molecular Biology · #Genomics and Chromatin Dynamics #Genomics and Phylogenetic Studies #RNA and protein synthesis mechanisms
- A scalable and real-time neural decoder for topological quantum codes
2025/12/08 by Andrew W. Senior, Senior, Andrew W., Thomas Edlich +45 · 1 voice · 8 citations
Computer Science · Physics and Astronomy · #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum many-body systems #cs.LG #quant-ph
- Advancing regulatory variant effect prediction with AlphaGenome
2026/01/28 by Žiga Avsec, Natasha S. Latysheva, Jun Cheng +24 · 1 voice · 8 citations
Biochemistry, Genetics and Molecular Biology · #Genomic variations and chromosomal abnormalities #Genomics and Chromatin Dynamics #Genomics and Rare Diseases
- The unknotting number, hard unknot diagrams, and reinforcement learning
2024/09/13 by Taylor Applebaum, Applebaum, Taylor, Sam Blackwell +13 · 1 citation
Computer Science · Mathematics · #57K10 #57K14 #68T07 #68T20 #Artificial Intelligence (cs.AI) #Artificial intelligence #Combinatorics #Computability, Logic, AI Algorithms #Computer science #FOS: Computer and information sciences #FOS: Mathematics #Geometric Topology (math.GT) #I.2.1 #I.2.6 #I.2.8 #Knot (papermaking) #Machine Learning (cs.LG) #Materials science #Mathematics #Reinforcement learning #Unknot